BMGT836

Applied Regression Models

An introduction to regression models used in business research. Topics include: simple and multiple regression, diagnostics for checking model adequacy, transformations, polynomial models, indicator variables, multicollinearity, variable selection, times series data, generalized linear models, implementation using statistical software, and application to research questions.

Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.47 between 44 students*

BMGT836 Grade Distribution+-051015202530354045505560657075% of studentsABCDFWother
A-: 22.73%
A: 34.09%
A+: 13.64%
B-: 2.27%
B: 6.82%
B+: 9.09%
W: 6.82%
other: 4.55%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.